Data management is the process of establishing and enforcing rules, processes and procedures to manage data throughout its entire lifecycle. It ensures that data is useful and accessible, which facilitates regulatory compliance and facilitates informed decisions.
The importance of effective data management has grown significantly as organizations automate their business processes, leverage software-as-a-service (SaaS) applications and deploy data warehouses, among other initiatives. This results in a growing amount of data which must be consolidated and then delivered to business analytics (BI) systems such as enterprise resource management (ERP) platforms and Internet of Things (IoT), sensors, and machine learning, and generative artificial Intelligence (AI) tools, for advanced insights.
Without a clearly defined data management strategy, companies can end up https://taeglichedata.de/maintaining-data-processes-throughout-the-information-lifecycle/ with incompatible data silos and unbalanced data sets which make it difficult to run business intelligence and analytics applications. Poor data management can also reduce trust between employees and customers.
To meet these challenges it is crucial that companies create a data management strategy (DMP) that includes the necessary people and processes to manage all kinds of data. A DMP can, for instance can help researchers decide the naming conventions for files that they should follow to arrange data sets to store them over the long term and make them easy to access. It could also include data workflows that define the steps to take for cleansing, validating and integrating raw data sets and refined data sets in order to make them suitable for analysis.
For organizations that collect consumer information For companies that collect consumer information, a DMP can assist in ensuring compliance with global privacy laws like the European Union’s General Data Protection Regulation or state-level regulations, such as California’s Consumer Privacy Act. It also can guide the development of procedures and policies to address security threats to data and audits.

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